## Otras Anotaciones de Tipos de Retorno

Podría haber casos en los que devuelvas algo que no es un campo válido de Pydantic y lo anotes en la función, solo para obtener el soporte proporcionado por las herramientas (el editor, mypy, etc).

### Devolver un Response Directamente

   *
   * @param minimumBits a positive integer. This can be arbitrarily large. The returned {@link
   *     HashFunction} instance may use memory proportional to this integer.
   * @return a hash function, described above, that produces hash codes of length {@code
   *     minimumBits} or greater
   */
  public static HashFunction goodFastHash(int minimumBits) {

 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage

		return nil, ErrHeader
	}

	// Parse for all member entries.
	// numEntries is trusted after this since a potential attacker must have
	// committed resources proportional to what this library used.
	if err := feedTokens(2 * numEntries); err != nil {
		return nil, err
	}
	spd := make(sparseDatas, 0, numEntries)
	for i := int64(0); i < numEntries; i++ {

    if (expectedInsertions == 0) {
      expectedInsertions = 1;
    }
    /*
     * TODO(user): Put a warning in the javadoc about tiny fpp values, since the resulting size
     * is proportional to -log(p), but there is not much of a point after all, e.g.
     * optimalM(1000, 0.0000000000000001) = 76680 which is less than 10kb. Who cares!
     */
    long numBits = optimalNumOfBits(expectedInsertions, fpp);

 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage

* Add generic NoSchedule toleration to fluentd in gcp config. ([#48182](https://github.com/kubernetes/kubernetes/pull/48182), [@gmarek](https://github.com/gmarek))

    *   Removed data download links from TensorBoard.
    *   TensorBoard uses a relative data directory, for easier embedding.
    *   TensorBoard automatically ignores outliers for domain calculation, and
        formats proportional values consistently.
*   Multiple tfdbg bug fixes:
    *   Fixed Windows compatibility issues.
    *   Command history now persists across runs.
    *   Bug fix in graph validation related to `tf.while_loops`.